Outlier’s Post

The part of artificial intelligence I am still unsure about is the intelligence part. I get it can learn and repeat back what it learns, but how does it transform that into intelligence, drawing new conclusions and ideas? So far its just a sophisticated recorder in my experience.

Machine learning is a branch of artificial intelligence that empowers computers to learn and improve from experience without being explicitly programmed. It revolves around developing algorithms that enable computers to recognize patterns within data and make intelligent decisions based on them. There are mainly five types of categories used in machine learning. #machinelearning #Decisionboundary #Classficiation #Regression

What is AI?

A I : Artificial Intelligence . Has it been designed (by someone) to help us improve our quality of life? Part 1 : Will it become more "believable" then a human ? I say to you "You can do anything you want in life " and the A I says " You can do anything you want in life ." They are exactly the same positive sentences . The source is different though. The perception of the source is different. The value we give to the source is different and so the meaning of the two sentences become different but which one of these two sources you are truly going to believe?

WHY do you need artificial intelligence for ARTIFICIAL INTELLIGENCE? Because the CONTROLLERS OF ARTIFICIAL INTELLIGENCE CAN ALWAYS DISINFORM AND MISINFORM ARTIFICIAL INTELLIGENCE BY ERASING EMITTING INFORMATION TO ADVOCATE THEIR AGENDA. The REALITY IN ARTIFICIAL INTELLIGENCE IS DEPENDENT ON USER INPUT AND CONTROLLERS DEFINITION OF WHAT IS REAL AND WHAT IS NOT! SO, USER INPUT HAS TO BE CONSTANT AND THE VOLUME HAS TO BE HUGE TO ALTER ARTIFICIAL INTELLIGENCE'S REALITY! OTHERWISE IT WILL NOT MATCH YOUR REALITY!

Machine learning is a branch of artificial intelligence that enables computers to learn and improve from experience without being explicitly programmed. It's revolutionizing various industries, from healthcare to finance. For a detailed introduction, you can check out this link: Introduction to Machine Learning.

Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit instructions. Instead, these systems learn from data and improve over time, making machine learning a powerful tool for a wide range of applications.

Have you ever wondered if computers could truly understand the weight of their own decisions? Imagine a world where machines don't just follow pre-programmed rules, but actually feel responsible for their actions and the impact they have on our lives. The concept of responsibility is deeply rooted in human intelligence – as we develop expertise, we start to own the outcomes of our choices. But for artificial intelligence